We are now looking for a Senior Deep Learning Architect, LLM Inference! NVIDIA is at the forefront of the generative AI revolution. The Inference…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert…

…Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration. Extensive experience with deep learning frameworks (e.g…

…AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the…

…The ASEAN Technology Team is seeking a hands-on Senior Solution Architect, AI Engineering — a forward-deployed technical leader who converts AI ambition into…

…or Internet-related industries - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or…

…Experience with inference pipelines for LLM, Speech Recognition & Speech Synthesis Solid understanding of modern model architectures (Transformers, CNNs, RNNs) Excellent debugging abilities spanning multiple…

…Significant technical depth in AI tools and model architectures including LLMs, VLMs, speech models, agentic workflows, pre+post-training, and inference optimization. Experience leading…

…Python, Agentic AI experience Preferred Qualifications: • Good knowledge on ML/DL/LLM architectures and AI Inferencing solutions ( vLLM/Triton/Dynamo/etc..) • Hands on Experience…

…Expertise in heterogeneous inference platforms supporting LLMs, SLMs, wide & deep models, ensembles, graph models, classical ML models, heuristics, and rules engines. Experience with entity…

…architecture and design (architecture, design patterns, reliability and scaling) experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles…

…recommendations to senior leadership through written narratives that connect technical science to business strategy. This role requires deep expertise in causal inference and experimental…

…Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in…

…Machine Learning Systems team is responsible for development, operations, and maintenance of scale-out machine learning platforms used for training and inference workloads. We…

…LLMs and custom models, experience with model customization/fine-tuning. - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles…

…delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience…

…Machine learning fundamentals (supervised, unsupervised, deep learning) Transformer architectures / LLMs Model evaluation and debugging Experience with: ML frameworks (PyTorch, TensorFlow) Model deployment and serving…

…infrastructure execution—enabling cutting-edge machine learning features that drive our products. You will be responsible for architecting robust, distributed systems optimized for high…

…delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - 6…

…Designing production SLM training and serving systems requires a deep theoretical understanding of modern deep learning, optimization, and systems performance. Specialized Technical Knowledge: 2…

…and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level…

…deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) - Experience in developing and deploying LLMs…

…system architecture for performance-sensitive systems. Familiarity with modern machine learning and inference system trends, especially around LLMs and generative AI. For senior candidates…

…Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs…